• 제어로봇시스템학회:학술대회논문집
• /
• 2004.08a
• /
• pp.981-985
• /
• 2004

In this paper we designed the motor control IP Core and evaluate its quality from the viewpoint of IP reuse. The most attractive merit of this methodology, so called IP-based hardware design, is hardware reuse. Although various vendors designed hardware with the same specification and got the same functional results, all that IPs is not the same quality in the reuse aspect. As tremendous calls for SoC have been increased, associated research about IP quality standard, VSIA(Virtual Socket Interface Alliance) and STARC(Semiconductor Technology Academic Research Center), has been doing best to make the IP quality evaluation system. And they made what conforms to objective IP design standard. We suggest the methodology to evaluate our own designed motor control IP quality with this standard. To attain our goal, we designed motor control IP that could control the motor velocity and position with feedback compensation algorithm. This controller has some IP blocks : digital filter, quadrature decoder, position counter, motion compensator, and PWM generator. Each block's functionality was verified by simulator ModelSim and then its quality was evaluated. To evaluate the core, We use Vnavigator for lint test and ModelSim for coverage check. During lint process, We adapted the OpenMORE's rule based on RMM (Reuse Methodology Manual) and it could tell us our IP's quality in a manner of the scored value form. If it is high, its quality is also high, and vice versa. During coverage check ModelSim-SE is used for verifying how our test circuits cover designs. This objective methods using well-defined commercial coverage metrics could perform a quantitative analysis of simulation completeness. In this manner, We evaluated the designed motor control IP's quality from the viewpoint of reuse. This methodology will save the time and cost in designing SoC that should integrate various IPs. In addition to this, It can be the guide for comparing the equally specified IP's quality. After all, we are continuously looking forward to enhancing our motor control IP in the aspect of not only functional perfection but also IP reuse to prepare for the SoC-Compliant motor control IP design.

• Journal of Korean Academy of Nursing Administration
• /
• v.10 no.1
• /
• pp.25-36
• /
• 2004

Purpose: Nursing puts much weight en the organization of hospital. Therefore it is necessity to improve nursing care. One of the most important things is to secure confident nurses and to develop nurse' potentiality. It directs nurse evaluation system. The concept of "performance appraisal tools" is extremely important in evaluation system. Therefore, the purpose of this study aims to define performance appraisal process. Method: In order to do this, two main study has been observed interviewing appraisers and employees in-depth and analyzing performance appraisal tools of seven hospitals and analysed validity, reliability, acceptability and practicability. Result: The result of this study can be summarized as follows; Firstly, the result of analysis of performance appraisal tools. Regard to validity, Hospitals had a typical goal, but had not put to practice use. Regard to reliability, 1) Appraisal rule had been focused on appraiser's error, how to avoid. 2) 5 hospitals accessed nurses with relative rating and 2 hospitals with absolute rating both in practice. 3) 3 hospitals informed nurses the result of performance appraisal but 4 hospitals did not. 4) All hospitals in this study had conducted superiors rating. Regard to acceptability, 1)Rating scale method had been implemented by 6 hospitals and among those conducted beth ranking method and descriptive method. 2) Most hospitals had focused on personal traits in performance appraisal factors. Regard to practicality, The term of appraisal took $10{\sim}14$ days; performance appraisal happened 1 or 2 times per year; appraisal factors were based on 10 different items. Secondly, the result of in-depth interview with head nurses and staff nurses Regard to validity, head nurses and nurses wared that the goal of performance appraisal is to develop nurse's ability. Regard to reliability, head nurses pointed out that they were doubt of the justice of performance appraisal and they should have got training. Nurses insisted that raters should have been trained due to lack of qualification of appraiser; Head nurses and nurse proposed to convert form relative rating to absolute rating; to inform the result of appraisal; to implement peers rating. Regard to acceptability, One of the critical problems of performance appraisal tools was abstract of appraisal factors ; Lack of job analysis. Regard to practicality, Head nurses used to take overtime for appraisal. There was only a little respond despite of their efforts. Nurses questioned that appraisal tools exist for only appraisal; there was less cost-effectiveness. Conclusion: Based en these findings, it could be suggested to improve the performance appraisal tools for nurses evaluation. Firstly, it is necessary to describe goal of performance appraisal clearly set up, so that nurses could improve their positive word performance and develop their potentiality. Secondly, it is necessary to obtain various training on raters, implement absolute rating and inform the result of appraisal to nurses and use peers rating. Thirdly, it is necessary to convert from rating scale method to management by objectives or behaviorally anchored rating scale and take measurable appraisal factors based en job analysis. Finally, it is necessary to reduce the appraisal cost but increase effectiveness of performance appraisal.

• The KIPS Transactions:PartB
• /
• v.15B no.2
• /
• pp.137-146
• /
• 2008

Fault localization plays a significant role in enormous distributed system because it can identify root cause of observed faults automatically, supporting self-managing which remains an open topic in managing and controlling complex distributed systems to improve system reliability. Although many Artificial Intelligent techniques have been introduced in support of fault localization in recent research especially in increasing complex ubiquitous environment, the provided functions such as diagnosis and prediction are limited. In this paper, we propose fault localization for self-managing in performance evaluation in order to improve system reliability via learning and analyzing real-time streams of system performance events. We use probabilistic reasoning functions based on the basic Bayes' rule to provide effective mechanism for managing and evaluating system performance parameters automatically, and hence the system reliability is improved. Moreover, due to large number of considered factors in diverse and complex fault reasoning domains, we develop an efficient method which extracts relevant parameters having high relationships with observing problems and ranks them orderly. The selected node ordering lists will be used in network modeling, and hence improving learning efficiency. Using the approach enables us to diagnose the most probable causal factor with responsibility for the underlying performance problems and predict system situation to avoid potential abnormities via posting treatments or pretreatments respectively. The experimental application of system performance analysis by using the proposed approach and various estimations on efficiency and accuracy show that the availability of the proposed approach in performance evaluation domain is optimistic.

• Convergence Security Journal
• /
• v.16 no.7
• /
• pp.129-137
• /
• 2016

The guarantee of citizens' safety from crime is the reason for a nation's existence according to the social contract, and it is also a salient task in securing the citizens' right to the pursuit of happiness, which is a constitutional right expressing the nation's duty to its citizens. First, a procedure must be made mandatory that corresponds to the Miranda rule applied during the arrest of criminal suspect, which verifies whether there exists a risk of retaliatory crime to the victim of crime, crime reporter, or witness following their report of a crime or testimony. A measure to punish those who violate this should be devised. The second is the improvement of related laws and systems, such as expanding the scope of persons subject to protection from retaliatory crimes under the current law and strengthening information protection. Third, a retaliatory crime risk evaluation index must be developed, and the evaluation results must be quantified to clearly state measures and responsibilities, in detail, for personal safety at each level of intensity. The fourth is the expanded implementation of proactive personal safety measures for victims of crime and witnesses, as well as the development and application of advanced techniques. The last is a change in the perception s of those working for the judicial body. From the initial investigation stage of the crime to the diagnosis regarding the possibility of retaliation perpetrated on an ex-convict through psychological tests, systems of general cooperation, and mutual assistance must be established.

• Journal of Chest Surgery
• /
• v.39 no.1 s.258
• /
• pp.56-59
• /
• 2006

Background: Spontaneous pneumomediastinum (SPM) is a relatively rare and benign condition that generally occurs in young adults without any precipitating factor or disease. The purpose of this study was to assess whether more uncomforting diagnostic procedures are necessary and to establish standards in the diagnosis and treatment of spontaneous pneumomediastinum. Material and Method: A retrospective study was done on 18 patients from the hospitals of Hanyang University Seoul Hospital and Hanyang University Guri Hospital between February, 1997 and June, 2004. All patients had presence of mediastinal air without a pneumothorax and no evidence of trauma or barotrauma. Result: Among the 18 patients, the majority were male patients with only two female patients. Their mean age was 20.95 years old with standard deviation of 14.3 years. The most common complaints were chest pain, dyspnea, and coughing. Evaluation included simple chest roentgenogram in all patients, 10 patients had a chest tomographic scan, 10 patients had an esophagoscopic exam, 6 patients had a bronchofiberoscopic exam, and 3 patients had an esophagogram done. The mean hospital stay was 10.9 days. All patients were treated conservatively and in a follow-up of 1 $\∼$ 8 years only one recurrence was found. Conclusion: SPM is caused by alveolar rupture in the pulmonary interstitium leading to dissection of air towards the hilum and mediastinum. Although SPM is a self-limiting condition, evaluation should include chest roentgenogram and chest tomographic scans to rule out any other secondary condition. More aggressive evaluation seems unnecessary.

• Journal of the Korean Society for Railway
• /
• v.20 no.5
• /
• pp.649-657
• /
• 2017

In this study, fatigue testing was carried out for long-term use of rail according to track type. From S-N curves for 50%~0.01% failure probability, the fatigue life of the long-term use rail for each track type was derived using the weight probability analysis technique on the experimental data. Because the rails used in the fatigue test have different cumulative tonnages, the number of repetitions was modified by averaging the cumulative tonnage. In addition, the bending stresses of rail bottoms, considering rail surface irregularities, track support stiffnesses and train speeds, were evaluated using the predicted rail bending stresses derived from existing studies. As a result, for rail fatigue life evaluation, the fatigue life of rail on the ballast track was found to be more than 200 million tons higher than the standard value for rail replacement. Also, the fatigue life of rail on concrete track is more than 300 million tons higher than that on ballast track. The Haibach rule is adaptable for the fatigue life evaluation of rail for stress range under fatigue limit.

• Journal of Korea Water Resources Association
• /
• v.53 no.9
• /
• pp.647-660
• /
• 2020

The objectives of this study are to develop a framework for selecting multi-GCMs considering Asia monsoon characteristics and assess it's applicability. 12 climate variables related to monsoon climates are selected for GCM selection. The framework for selecting multi-GCMs includes the evaluation matrix of GCM performance based on their capability to simulate historical climate features. The climatological patterns of 12 variables derived from individual GCM over the summer monsoon season during the past period (1976-2005) and they are compared against observations to evaluate GCM performance. For objective evaluation, a rigorous scoring rule is implemented by comparing the GCM performance based on the results of statistics between historical simulation derived from individual GCM and observations. Finally, appropriate 5 GCMs (NorESM1-M, bcc-csm1-m, CNRM-CM5, CMCC-CMS, and CanESM2) are selected in consideration of the ranking of GCM and precipitation performance of each GCM. The selected 5 GCMs are compared with the historical observations in terms of monsoon season and monthly mean to validate their applicability. The 5 GCMs well capture the observational climate characteristics of Asia for the 12 climate variables also they reduce the bias between the entire GCM simulations and the observational data. This study demonstrates that it is necessary to consider various climate variables for GCM selection and, the method introduced in this study can be used to select more reliable climate change scenarios for climate change assessment in the Asia region.

• Journal of Intelligence and Information Systems
• /
• v.26 no.2
• /
• pp.43-56
• /
• 2020

Recommender systems help users make the best choice among various options. Especially, recommender systems play important roles in internet sites as digital information is generated innumerable every second. Many studies on recommender systems have focused on an accurate recommendation. However, there are some problems to overcome in order for the recommendation system to be commercially successful. First, there is a lack of transparency in the recommender system. That is, users cannot know why products are recommended. Second, the recommender system cannot immediately reflect changes in user preferences. That is, although the preference of the user's product changes over time, the recommender system must rebuild the model to reflect the user's preference. Therefore, in this study, we proposed a recommendation methodology using topic modeling and sequential association rule mining to solve these problems from review data. Product reviews provide useful information for recommendations because product reviews include not only rating of the product but also various contents such as user experiences and emotional state. So, reviews imply user preference for the product. So, topic modeling is useful for explaining why items are recommended to users. In addition, sequential association rule mining is useful for identifying changes in user preferences. The proposed methodology is largely divided into two phases. The first phase is to create user profile based on topic modeling. After extracting topics from user reviews on products, user profile on topics is created. The second phase is to recommend products using sequential rules that appear in buying behaviors of users as time passes. The buying behaviors are derived from a change in the topic of each user. A collaborative filtering-based recommendation system was developed as a benchmark system, and we compared the performance of the proposed methodology with that of the collaborative filtering-based recommendation system using Amazon's review dataset. As evaluation metrics, accuracy, recall, precision, and F1 were used. For topic modeling, collapsed Gibbs sampling was conducted. And we extracted 15 topics. Looking at the main topics, topic 1, top 3, topic 4, topic 7, topic 9, topic 13, topic 14 are related to "comedy shows", "high-teen drama series", "crime investigation drama", "horror theme", "British drama", "medical drama", "science fiction drama", respectively. As a result of comparative analysis, the proposed methodology outperformed the collaborative filtering-based recommendation system. From the results, we found that the time just prior to the recommendation was very important for inferring changes in user preference. Therefore, the proposed methodology not only can secure the transparency of the recommender system but also can reflect the user's preferences that change over time. However, the proposed methodology has some limitations. The proposed methodology cannot recommend product elaborately if the number of products included in the topic is large. In addition, the number of sequential patterns is small because the number of topics is too small. Therefore, future research needs to consider these limitations.

• Journal of the Korean Society for information Management
• /
• v.19 no.1
• /
• pp.115-134
• /
• 2002

According to increase share ratio of information on library be unable bring to maintain knowledge and information resource management for information audit and control on management vision in non-profit organization. Application of information management system was necessary to the systems integration and total management activity in total management system of organization. Library must be to investigate knowledge and information promotion and management innovation needs to consider to gather into a bundle problems to include social and economic requirements. This research be able to adaption all library standardization rule review adapt ability of information management system through the analysis compared to various developed performance indicator for library and level evaluation indicator for information management system. Library will be expanse efficiency of organization, satisfaction of users and level up the National competition through the adaptation of information management system.

• Journal of KIISE:Software and Applications
• /
• v.27 no.6
• /
• pp.678-689
• /
• 2000

This paper describes an automatic summarization approach that constructs a summary by extracting sentences that are likely to represent the main theme of a document. As a way of selecting summary sentences, the system uses a model that takes into account lexical and statistical information obtained from a document corpus. As such, the system consists of two parts: the training part and the summarization part. The former processes sentences that have been manually tagged for summary sentences and extracts necessary statistical information of various kinds, and the latter uses the information to calculate the likelihood that a given sentence is to be included in the summary. There are at least three unique aspects of this research. First of all, the system uses a text component identification model to categorize sentences into one of the text components. This allows us to eliminate parts of text that are not likely to contain summary sentences. Second, although our statistically-based model stems from an existing one developed for English texts, it applies the framework to individual features separately and computes the final score for each sentence by combining the pieces of evidence using the Dempster-Shafer combination rule. Third, not only were new features introduced but also all the features were tested for their effectiveness in the summarization framework.